Triple
T33593716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall "Memphis" Raines |
E860500
|
entity |
| Predicate | returnsFromRetirementFor |
P17858
|
FINISHED |
| Object | one last heist |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one last heist | Statement: [Randall "Memphis" Raines, returnsFromRetirementFor, one last heist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnsFromRetirementFor Context triple: [Randall "Memphis" Raines, returnsFromRetirementFor, one last heist]
-
A.
returnedFromRetirement
chosen
Indicates that an entity has resumed an activity, role, or position after having previously retired from it.
-
B.
returnsFor
Indicates that an entity goes back to a previous place, state, or counterpart, typically reversing or completing an earlier departure or action.
-
C.
returnsTo
Indicates that an entity goes back to a previous location, state, or entity it was associated with before.
-
D.
returns
Indicates that one entity gives or sends something back to another entity, often as a result or outcome of a process or action.
-
E.
receivesPensionFrom
Indicates that one entity is the source or provider of a pension that another entity receives.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 1, 2026, 1:41 a.m.